CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data

One challenge of learning from streaming data is that only a limited number of labeled examples are available, making semi-supervised learning (SSL) algorithms becoming an efficient tool for streaming data mining. Recently, the graph-based SSL algorithms have been proposed to improve SSL performance...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 55; H. 2; S. 684 - 697
Hauptverfasser:	Yu, Hang, Wen, Jiahao, Sun, Yiping, Wei, Xiao, Lu, Jie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.02.2025
Schlagworte:	Adaptation models Competence model Concept drift Correlation Data models graph neural network Graph neural networks Heuristic algorithms Reliability Semantics semi-supervised learning (SSL) Semisupervised learning streaming data Streams
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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